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Paper Citation Record · LEDGER

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion

As of 10 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2607.23580.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.23580 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-30T18:22:29.540263Z

measured 55 of 55 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

55 of 55 outbound references displayed

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  • verified fuzzy0
  • unresolved52
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Outbound references

Observation 411fb8bc-8172-4761-90d4-87d588f0d472 · outbound

This paper cites In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M., Lin, H.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: Larochelle, H., Ranzato, M., Hadsell, R., Balcan, M., Lin, H

Reference 1

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Observation 2cae993d-fbc5-4ab6-b61d-f1cdfd6d5e53 · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 2

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Observation 1bb7c129-ecc7-452f-991c-1c4589ecb1cd · outbound

This paper cites Revisiting ResNets: Improved Training and Scaling Strategies.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion Revisiting ResNets: Improved Training and Scaling Strategies

Reference 3

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Observation 997bfc70-bbb9-4251-bc66-06ec986ccb61 · outbound

This paper cites Longformer: The Long-Document Transformer.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion Longformer: The Long-Document Transformer

Reference 4

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Observation 78fe5409-fbcf-42fc-9770-966c16ee1b0b · outbound

This paper cites In: Computer Vision – ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XVII.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: Computer Vision – ECCV 2022: 17th European Conference, Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part XVII

Reference 5

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Observation b742c42f-7f85-4375-b775-f1962d4c30c4 · outbound

This paper cites so you think you can sketch? ACM Trans.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion so you think you can sketch? ACM Trans

Reference 6

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Observation 5983af37-0145-4219-baec-4c9b3f620687 · outbound

This paper cites WorkingPaper 4288, Aston University (1994), copyright © 1994, Christopher M.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion WorkingPaper 4288, Aston University (1994), copyright © 1994, Christopher M

Reference 7

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Observation 2c1ddb2a-92ad-48d5-b45e-f03794fd0fb0 · outbound

This paper cites Accounting for Variance in Machine Learning Benchmarks.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion Accounting for Variance in Machine Learning Benchmarks

Reference 8

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Observation 47d45657-b605-4696-84b7-f7983580a1cf · outbound

This paper cites In: Proceedings of the 34th International Conference on Neural Information Processing Systems.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: Proceedings of the 34th International Conference on Neural Information Processing Systems

Reference 9

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Observation 1cf3e91b-8a89-4842-808a-eaef502f9e92 · outbound

This paper cites Machine Learning28, 41–75 (1997).

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion Machine Learning28, 41–75 (1997)

Reference 10

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Observation f58d669f-360c-4ae3-9c8b-f2bb7f59a67f · outbound

This paper cites Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories

Reference 11

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Observation 6e085656-caf7-4318-8b2f-85a4e1cccca1 · outbound

This paper cites In: Conference on Empirical Methods in Natural Language Processing (2014) SketchMamba 11.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: Conference on Empirical Methods in Natural Language Processing (2014) SketchMamba 11

Reference 12

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Observation 947d35df-4920-49a0-a89b-5603659c1ac7 · outbound

This paper cites In: Korhonen, A., Traum, D., Màrquez, L.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: Korhonen, A., Traum, D., Màrquez, L

Reference 13

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Observation 5d116d12-0866-4334-8bfb-75967db3879a · outbound

This paper cites Hungry Hungry Hippos: Towards Language Modeling with State Space Models.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion Hungry Hungry Hippos: Towards Language Modeling with State Space Models

Reference 14

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Observation 3373696f-e976-4bf7-b742-697f4e2346b9 · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 15

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Observation 169d30ee-ef92-4180-b61a-f686e80b039e · outbound

This paper cites In: International Conference on Learning Representations (2022).

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: International Conference on Learning Representations (2022)

Reference 16

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Observation f5e1bc2d-e8ef-4e08-991c-ea458c7ee00e · outbound

This paper cites In: European Conference on Computer Vision (2020).

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: European Conference on Computer Vision (2020)

Reference 17

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Observation f4427d45-371f-4d89-bf1e-1f84d84656c3 · outbound

This paper cites In: International Con- ference on Learning Representations (2021).

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: International Con- ference on Learning Representations (2021)

Reference 18

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Observation 150e788f-95af-49c0-b677-17e2e1090623 · outbound

This paper cites Generating Sequences With Recurrent Neural Networks.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion Generating Sequences With Recurrent Neural Networks

Reference 19

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Observation 08eca44f-f405-493c-ae68-19646ad8c670 · outbound

This paper cites In: First Conference on Language Modeling (2024).

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: First Conference on Language Modeling (2024)

Reference 20

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Observation 70050b2c-4d05-46ee-8de7-e84f79e3eb93 · outbound

This paper cites HiPPO: Recurrent Memory with Optimal Polynomial Projections.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion HiPPO: Recurrent Memory with Optimal Polynomial Projections

Reference 21

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Observation a0a971c4-04d0-4aa8-a7ed-967c138fb778 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion Efficiently Modeling Long Sequences with Structured State Spaces

Reference 22

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Observation fba8a3a2-9c21-4592-9039-a8d4852b99da · outbound

This paper cites A Neural Representation of Sketch Drawings.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion A Neural Representation of Sketch Drawings

Reference 23

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Observation 689feba2-e244-4ae2-8287-89493d79fdc8 · outbound

This paper cites Neural Comput.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion Neural Comput

Reference 24

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Observation e958a553-1345-4693-be56-c38d4438d4e7 · outbound

This paper cites In: Conference on Uncertainty in Artificial Intelli- gence (2018).

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: Conference on Uncertainty in Artificial Intelli- gence (2018)

Reference 25

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Observation cea19965-3edf-45ee-b417-78696f74a8ee · outbound

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SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion Unresolved cited work

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Observation 4ba8d1d7-89b3-4481-86d9-7af5192904e8 · outbound

This paper cites A Study of BFLOAT16 for Deep Learning Training.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion A Study of BFLOAT16 for Deep Learning Training

Reference 27

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Observation 866ebceb-d150-4b21-a2ce-ca31514bc70b · outbound

This paper cites In: International Conference on Machine Learning (2020).

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: International Conference on Machine Learning (2020)

Reference 28

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Observation 5f68d4b0-3c2b-423f-942d-cd1fc426e6f9 · outbound

This paper cites IEEE Transactions on Visualization and Computer Graphics pp.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion IEEE Transactions on Visualization and Computer Graphics pp

Reference 29

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This paper cites 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) pp.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) pp

Reference 30

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This paper cites 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) pp.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) pp

Reference 31

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This paper cites arXiv: Learning (2016).

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion arXiv: Learning (2016)

Reference 32

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Observation d1e4f7d0-061c-460f-a679-3d6744aaf498 · outbound

This paper cites In: International Conference on Learning Representations (2017).

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: International Conference on Learning Representations (2017)

Reference 33

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This paper cites In: Speech Synthesis Workshop (2016).

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: Speech Synthesis Workshop (2016)

Reference 34

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Observation 6b6dd09c-5f82-4f02-925e-6305071f258a · outbound

This paper cites In: Conference on Empirical Methods in Natural Language Processing (2023).

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: Conference on Empirical Methods in Natural Language Processing (2023)

Reference 35

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Observation a2d1aa90-65d9-4ced-a2a3-bf62b7298271 · outbound

This paper cites In: International Confer- ence on Machine Learning (2023).

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: International Confer- ence on Machine Learning (2023)

Reference 36

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Observation 0e291f14-1a80-40dd-b50f-649667892eb8 · outbound

This paper cites 2021 IEEE/CVF International Conference on Computer Vision (ICCV) pp.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion 2021 IEEE/CVF International Conference on Computer Vision (ICCV) pp

Reference 37

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Observation 1db7256b-4eaa-4270-8e19-88f2b54f09f4 · outbound

This paper cites an unresolved cited work.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion Unresolved cited work

Reference 38

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Observation 1ef52d33-2b52-4f97-84e1-66b175a37925 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 39

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Observation e0613439-735c-4e9f-a203-2eb3a3940916 · outbound

This paper cites An Overview of Multi-Task Learning in Deep Neural Networks.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion An Overview of Multi-Task Learning in Deep Neural Networks

Reference 40

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Observation e82fbdd0-ca11-4123-b3af-6662c3c1c7af · outbound

This paper cites ACM Transactions on Graphics (TOG) 35, 1 – 12 (2016).

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion ACM Transactions on Graphics (TOG) 35, 1 – 12 (2016)

Reference 41

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Observation 9c404dc8-9106-41e8-aa04-42409e57f2d2 · outbound

This paper cites In: Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event

Reference 42

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Observation 988b4cb1-751e-487d-a2ab-5084c04b5c56 · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion Simplified State Space Layers for Sequence Modeling

Reference 43

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Observation 3119cc4e-1b49-4752-9c7b-0986f3701940 · outbound

This paper cites an unresolved cited work.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion Unresolved cited work

Reference 44

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Observation 11bc4513-a3c4-48dd-9c4b-b17aec86d35c · outbound

This paper cites an unresolved cited work.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion Unresolved cited work

Reference 45

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Observation 7659efc5-0f45-4bfe-9fc7-f53d721d054c · outbound

This paper cites Retentive Network: A Successor to Transformer for Large Language Models.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion Retentive Network: A Successor to Transformer for Large Language Models

Reference 46

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Observation 05d3d45b-2f0e-41f0-b3e1-29ecdb047447 · outbound

This paper cites In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R

Reference 47

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Observation 0a007df4-b8c1-4d19-b11a-12756f2f08b5 · outbound

This paper cites ACM Transactions on Graphics (TOG)41, 1 – 11 (2022).

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion ACM Transactions on Graphics (TOG)41, 1 – 11 (2022)

Reference 48

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Observation 95e722be-3c4a-4f28-b4de-f52978019af3 · outbound

This paper cites In: The Eleventh International Conference on Learning Representations (2023).

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: The Eleventh International Conference on Learning Representations (2023)

Reference 49

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Observation 645e6f0a-28f0-4051-921c-ffe9218ed70d · outbound

This paper cites an unresolved cited work.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion Unresolved cited work

Reference 50

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Observation 78be4370-9648-4447-9503-cca25cc74ba2 · outbound

This paper cites 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition pp

Reference 51

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Observation 3cd48b95-1b9b-48e4-a2be-8c9b0f133934 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV).

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)

Reference 52

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Observation 3b8a4044-560c-4611-8ec8-10eb0c86b13e · outbound

This paper cites ACM Trans.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion ACM Trans

Reference 53

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-30T18:22:29.388969Z digest=sha256:5b1da2c51c152f8f1b602db2e3283f1f29fbf25ac32405c00cc601f3359e132e

Observation f26bfcfa-fa2a-41f5-9815-a279b97bfdbd · outbound

This paper cites In: British Machine Vision Conference (2015).

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion In: British Machine Vision Conference (2015)

Reference 54

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Observation 0e6b2010-e7c8-4eab-9856-2fa3e82d1e36 · outbound

This paper cites Root Mean Square Layer Normalization.

SketchMamba: A Lightweight State-Space Model for Joint Progressive Sketch Classification and Stroke Auto-Completion Root Mean Square Layer Normalization

Reference 55

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Pith citing papers

No inbound Pith citation observations are available.